A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations

Shih Ting Fong, Chun Jung Wang, Chuei-Tin Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Although diagnostic tests have already been developed in the past for differentiating the originally inseparable fault origins in several simple batch processes, their applicability in realistic systems is still questionable. To address this practical issue, the dynamic behavior of every processing unit involved in a given sequential operation is modeled here by integrating both the generic engineering knowledge and also the ASPEN-generated simulation data into a single automaton. The improved test plans can then be synthesized according to the system model obtained by assembling all such automata. The feasibility of this model building strategy is demonstrated with an example concerning the start-up operation of a flash process.

Original languageEnglish
Title of host publication2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages442-447
Number of pages6
ISBN (Electronic)9781509043972
DOIs
Publication statusPublished - 2017 Jul 18
Event6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017 - Taipei, Taiwan
Duration: 2017 May 282017 May 31

Publication series

Name2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017

Other

Other6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017
CountryTaiwan
CityTaipei
Period17-05-2817-05-31

Fingerprint

Hybrid Modeling
Diagnostic Tests
Energy Transfer
Energy transfer
Automata
Batch Process
Knowledge Engineering
Knowledge engineering
Start-up
Flash
Dynamic Behavior
Fault
Unit
Processing
Simulation
Strategy
Model

All Science Journal Classification (ASJC) codes

  • Process Chemistry and Technology
  • Industrial and Manufacturing Engineering
  • Control and Optimization
  • Modelling and Simulation

Cite this

Fong, S. T., Wang, C. J., & Chang, C-T. (2017). A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations. In 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017 (pp. 442-447). [7983821] (2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ADCONIP.2017.7983821
Fong, Shih Ting ; Wang, Chun Jung ; Chang, Chuei-Tin. / A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations. 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 442-447 (2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017).
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abstract = "Although diagnostic tests have already been developed in the past for differentiating the originally inseparable fault origins in several simple batch processes, their applicability in realistic systems is still questionable. To address this practical issue, the dynamic behavior of every processing unit involved in a given sequential operation is modeled here by integrating both the generic engineering knowledge and also the ASPEN-generated simulation data into a single automaton. The improved test plans can then be synthesized according to the system model obtained by assembling all such automata. The feasibility of this model building strategy is demonstrated with an example concerning the start-up operation of a flash process.",
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Fong, ST, Wang, CJ & Chang, C-T 2017, A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations. in 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017., 7983821, 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017, Institute of Electrical and Electronics Engineers Inc., pp. 442-447, 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017, Taipei, Taiwan, 17-05-28. https://doi.org/10.1109/ADCONIP.2017.7983821

A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations. / Fong, Shih Ting; Wang, Chun Jung; Chang, Chuei-Tin.

2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 442-447 7983821 (2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Fong ST, Wang CJ, Chang C-T. A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations. In 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 442-447. 7983821. (2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017). https://doi.org/10.1109/ADCONIP.2017.7983821